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Covid and all that...


Barry Wellman, FRSC               Director, NetLab Network
Founder, International Network for Social Network Analysis

Bit by bit, putting it together--Sondheim
It's Always Something--Roseanne Roseannadanna

Getting It Done; Getting It Out: A Practical Guide to Writing, Publishing, Presenting, and Promoting in the Social Sciences--coming in 2021 (Guilford Press)

NETWORKED: The New Social Operating System  Lee Rainie & Barry Wellman    

-------- Forwarded Message --------
Subject: 	Latest Complexity Digest Posts
Date: 	Mon, 29 Jun 2020 11:04:33 +0000
From: 	Complexity Digest <[log in to unmask]>
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Learn about the latest and greatest related to complex systems research. 
More at 

Reducing transmission of SARS-CoV-2 

Epidemics Dynamics & Control on Networks. Call for papers 

Networks are ubiquitous in natural, technological and social systems. 
They offer a fertile framework for understanding and controlling the 
diffusion of ideas, rumors, and infectious diseases of plants, animals, 
and humans. Despite recent advances, many challenging scientific 
questions remain about the correct tools and their practical role in 
epidemics dynamics and effective strategies supporting public health 
decision making. The goal of this special issue is to offer a platform 
to the interdisciplinary community of scientists working on the 
diffusion process on networks and its plethora of applications. We hope 
for a broad range of topics to be covered, across theory, methodology, 
and application to empirical data with a special emphasis on epidemic 

Important dates
Expression of interest and abstract submission: July 10, 2020
Abstract feedback notification: July 13, 2020
Paper submission deadline: September 21, 2020
Target publication: November 01, 2020

( )

Starlings Fly in Flocks So Dense They Look Like Sculptures 

Photographer Xavi Bou condenses several seconds of movement into a 
single frame, showing the birds' flight—and fight.

( )

Surveillance testing of SARS-CoV-2

Daniel B Larremore, Bryan Wilder, Evan Lester, Soraya Shehata, James M 
Burke, James A Hay, Milind Tambe, Michael J Mina, Roy Parker

The COVID-19 pandemic has created a public health crisis. Because 
SARS-CoV-2 can spread from individuals with pre-symptomatic, 
symptomatic, and asymptomatic infections, the re-opening of societies 
and the control of virus spread will be facilitated by robust 
surveillance, for which virus testing will often be central. After 
infection, individuals undergo a period of incubation during which viral 
titers are usually too low to detect, followed by an exponential growth 
of virus, leading to a peak viral load and infectiousness, and ending 
with declining viral levels and clearance. Given the pattern of viral 
load kinetics, we model surveillance effectiveness considering test 
sensitivities, frequency, and sample-to-answer reporting time. These 
results demonstrate that effective surveillance, including time to first 
detection and outbreak control, depends largely on frequency of testing 
and the speed of reporting, and is only marginally improved by high test 
sensitivity. We therefore conclude that
surveillance should prioritize accessibility, frequency, and 
sample-to-answer time; analytical limits of detection should be secondary.

( )

Sponsored by the Complex Systems Society.
Founding Editor: Gottfried Mayer.
Editor-in-Chief: Carlos Gershenson.

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